Type: Chapter

Advances in seed phenotyping using X-ray imaging

Authors

Sherif Hamdy

GEVES (France)

Aurélie Charrier

GEVES (France)

Laurence Le Corre

GEVES (France)

Pejman Rasti

École d’ingénieur Informatique et Environnement (ESAIP) (France)

David Rousseau

Université d’Angers (France)

Publication date:

25 July 2022

ID: 9781801465458

E-Chapter format

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Description

In this chapter, we propose a panel of the imaging techniques dedicated to seed phenotyping. While review articles exist for most of these imaging techniques, X-Ray imaging, which can be considered as the most important one, still lacks of a synthetic overview. This is the focus on X-Ray imaging for seed that we propose in this chapter. We detail the workflow for this imaging modality and indicate the main parameters of importance to produce optimal image and extract the information they carry. We discuss the current literature on the topic and provide perspective for a wider dissemination in seed technologies. The chapter also provides some information on future trends in the direction of machine learning and gives links to additional material for video tutorials and datasets.

Table of contents

  • 1 Introduction
  • 2 Sample preparation
  • 3 Projection acquisition
  • 4 Image reconstruction
  • 5 Image processing
  • 6 Conclusion and outlook
  • 7 Future trends
  • 8 Where to look for further information
  • 9 References